Define random sampling. Why is it important to use a random sample? How else could randomness be applied to the study of a grass grassland?
Define random sampling. Why is it important to use a random sample? How else could randomness be applied to the study of a grass grassland?
The finding or making inference statistically about the whole population of anything from the selected sample is known as sampling. The sampling is carried out by various methods which include random sampling, systematic sampling, and cluster sampling.
The sampling technique involves the selection of samples randomly without being biased, which leads to an equal probability of selecting all samples is known as random sampling.
Random sampling is a significant measure of the whole population by selecting the random sample because random sampling gives the result similar to the results if the whole population is sampled.
The grass and grassland are sampled using random sampling in the following way:
First of all, different areas are randomly selected as a sample, and the grasses of that area are measured.
The total measurement of all measured grasses of each sampled area is calculated, and this will give the same result as of the whole grassland.
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